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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5199
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    Explanations

    terms related to watching or consuming media, particularly visual content like television and movies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    watching movies or TV

    np_acts-logits-general · gemini-2.0-flash

    watching movies and TV

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     núcleo
    -0.53
    rédients
    -0.53
     proprement
    -0.52
     scrittura
    -0.52
    adə
    -0.50
     pageContext
    -0.48
     mikrofon
    -0.48
    帖最后由
    -0.47
     samarbe
    -0.47
     núcleos
    -0.46
    POSITIVE LOGITS
     movies
    1.28
     movie
    0.98
     films
    0.87
     cartoons
    0.86
     Movies
    0.83
     documentaries
    0.82
    migrationBuilder
    0.80
    movies
    0.80
     videos
    0.80
     DVDs
    0.79
    Activations Density 0.208%

    No Known Activations